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froggychips/README.md

froggychips

Bangkok · working at the edges of:

  • Apple Silicon + on-device LLMsFroggy: MLX + Vision OCR on 8 GB Macs.
  • SRE / agentic incident responsesre-ai-copilot.
  • Claude Code toolingmcp-skills-vault.
  • Browser AI for X / TwitterTweAI: Chrome extension, BYOK, no backend.

Telegram: @froggychips In Frog We Trust🐸

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  1. Froggy Froggy Public

    On-device LLM + screen OCR for macOS. Native Swift 6, MLX, ScreenCaptureKit. Optimized for low-RAM Apple Silicon (8 GB).

    Swift

  2. mcp-skills-vault mcp-skills-vault Public

    Claude Code skills for discovering, scoring, and installing MCP (Model Context Protocol) servers — registry-first with a seeded 30-tool database and a token-safe install path.

    JavaScript

  3. sre-ai-copilot sre-ai-copilot Public

    AI-driven incident response copilot for Kubernetes. AlertManager webhook → agent pipeline (analyzer/hypothesis/critic/fix/risk) → human approval. FastAPI + Celery + LLM, k8s namespace guardrails.

    Python